Privacy

Quantifying Memorization Across Neural Language Models ICLR 2023 RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching UAI 2023 Realistic Full-Body Anonymization With Surface-Guided GANs WACV 2023 RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks NeurIPS 2023 Reconstructing Training Data from Model Gradient, Provably AISTATS 2023 Reconstructive Neuron Pruning for Backdoor Defense ICML 2023 Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023 Re-Thinking Model Inversion Attacks Against Deep Neural Networks CVPR 2023 Revisiting Data-Free Knowledge Distillation with Poisoned Teachers ICML 2023 Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis ICCV 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Robust and private stochastic linear bandits ICML 2023 Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023 Robust Multi-bit Natural Language Watermarking through Invariant Features ACL 2023 Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery IJCAI 2023 Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023 SAFE: Machine Unlearning With Shard Graphs ICCV 2023 SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels ACL 2023 Scalable Membership Inference Attacks via Quantile Regression NeurIPS 2023 SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023 Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations NeurIPS 2023 SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023